Date of Submission
Spring 2020
Academic Program
Computer Science; Mathematics
Project Advisor 1
Stefan Méndez-Diez
Project Advisor 2
Kerri-Ann Norton
Abstract/Artist's Statement
We will be looking into emotion detection and manipulation within a body of text based off of Robert Plutchik’s basic emotions. This project encompasses building probabilistic and lexical models, full-stack web development, and dataset creation and application. We will build our models off of Latent Dirichlet Allocation—a grouping model common in natural language processing (nlp) and lexicons compiled through crowdsourcing. User testing is undergone as a means of measuring the effectiveness of our models. We discuss the application of concepts and technologies including MongoDB, REST APIs, containerization, IaaS, and web frontends.
Open Access Agreement
Open Access
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.
Recommended Citation
Hollant, Cole G., "Determining Tone of a Body of Text" (2020). Senior Projects Spring 2020. 304.
https://digitalcommons.bard.edu/senproj_s2020/304
This work is protected by a Creative Commons license. Any use not permitted under that license is prohibited.
Included in
Computational Linguistics Commons, Computer and Systems Architecture Commons, Data Storage Systems Commons, Other Applied Mathematics Commons